...Running Head: HR STATISTICAL TECHNIQUES HR Statistical Techniques HRM/558 January 23, 2012 HR Statistical Techniques Ayles Networks is an IT networking company employing over 3,000 people across the Southwestern United States. Although, centrally located, the Human Resources (HR) office is up to 500 miles from several corporate offices. The HR department has been tasked with using HR statistical techniques to assess the effectiveness of current staffing, training, and HR assessments (University of Phoenix, 2011). The HR department will identify the type of data needed, the application of t-test, ANOVA, and regression analysis statistical techniques will be discussed and additional techniques will be reviewed. Required Data Testing of hypotheses is the basis for research and that results in statistical findings. A null hypothesis is presumed true until proven otherwise by statistical testing. If the null hypothesis is rejected then the alternative hypothesis is accepted. To begin statistical testing to determine the effectiveness of training and staffing programs requires several types of data including current and required staffing levels, labor availability, and skill sets data is required for each position and location. Results of hiring and promotion assessments such as pre-employment, selection, required training, and performance evaluation scores are also required. T-test A t-test is used to evaluate the differences in means between two groups...
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...Unit 2 – Probability and Distributions Kimberly Reed American InterContinental University Abstract This week’s paper focuses on an email that will be written to AUI the email will contain information from the data set key and explain why this information is important to the company. Memo To: HR Department From: Senior Manager Date: 20 Sept, 2011 Subject: Data Set Dear Department Heads: The following memo will contain information that contains vital and confidential information. This information will need to be studied by all department heads. Overview of the data set This data set of information contains information on the breakdown of the survey that was conducted on the company Use of statistics and probability in the real world Companies use statistics in the real world to get and have an advantage. They can be used for things such as knowing the latest stats on a sports figure or what items a consumer will likely buy from the local hardware store Distributions Distribution table contains the information that gives the breakdown of how the study was conducted and who the participants were in the study. This information is important to AIU for the company will be able to better prepare for the future when they know how to better manage their work force Then complete the following distribution tables. Please pay attention to whether you should present the results in terms of percentages or simple counts. Gender |Gender |Percentage...
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...implied population. A recent report on the weekly news presented the findings of a study on the effectiveness of Onglyza, along with diet and exercise, for treating diabetes. Implied population is people with diabetes. 2. In the following scenario identify the type of statistical study that was conducted. A Gallop poll surveyed 1,018 adults by telephone, and 22% of them reported that they smoked cigarettes within the past week. Polls are an Observational type of study as they do not try to sway the numbers. Statistical stats are gathered to measure ‘variables of interest’. 3. In the following scenario what is the statistic and the parameter it would estimate. A recent study of 460 drivers age 70 and over by the National Highway Traffic Safety Administration reported that 75% of those drivers had uncorrected vision problems. The statistic is the 75% of drivers in the study of 460 drivers that have uncorrected vision problems. The parameter is drivers age 70 and over. 4. What type of sampling procedure...
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...Module 1 - SLP Introduction to Probability MAT201 - Basic Statistics Quantitative data gathered on the amount of time spent using the computer on a daily basis. The procedure and data was collected for ten (10) days: 1. Time logged onto the computer. 2. Time logged off the computer. 3. Total number of hours logged onto the computer per use 4. Total use time to get a daily grand total. 5. Grand total for each day. RESULTS: DAY ONE: TOTAL HOURS = 2 HRS 9:00 AM – 11:00 AM DAY TWO: TOTAL HOURS = 1HR 10:00 AM – 11:00 AM DAY THREE: TOTAL HOURS = 1 HR 11:00 AM – 12:00 PM 1HR DAY FOUR: TOTAL HOURS = 4 HR 9:30 AM – 11:30 AM 2:00 PM – 4:00 PM DAY FIVE: TOTAL HOURS = 1 HR 1:00 PM – 2:00 PM DAY SIX: TOTAL HOURS = 3HR 10:00 AM – 1:00 PM DAY SEVEN: TOTAL HOURS = 2HR 1:00 PM – 3:00 PM DAY EIGHT: TOTAL HOURS = 3HR 11:00 AM – 12:00 PM 8:00 PM – 10:00 PM DAY NINE: TOTAL HOURS = 1HR 10:00 AM – 11:00 AM DAY TEN: TOTAL HOURS = 2HRS 9:30 AM – 11:30AM The data shows that I averaged ( 2 ) hours on the computer per day, 20.00 hrs for ten days. Probability is a measure of how likely an event will occur. The proposition of interest is usually of the form "Will a specific event occur?" The attitude of mind is of the form "How certain are we that the event will occur?" The certainty we adopt can be described in terms of a numerical measure and this number, between 0 and 1 (where 0 indicates impossibility...
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...HR Statistical Techniques HRM/558 Research in Human Resource Management Week Five, July 23, 2012 to conduct an assessment of the effectiveness of the staffing, training, and HR assessments by applying the following statistical techniques t-test, ANOVA, regression analysis, and other methods that might help the company analyze the effectiveness. Require Data Statistics involve the describing and analyzing of data and for making decisions about phenomena represented by that data. Hypotheses play a primary role in research; it implies assumptions or beliefs and is often stated as questions. A null hypothesis is true until verified otherwise by statistical testing. If the null hypothesis is rejected then the alternative hypothesis is accepted (McIntire & Miller, 2007). To provide adequate answers to the research questions, employing both quantitative and qualitative types of research will allow the company to collect the data required. Quantitative data includes productivity /performance levels, staffing requirements, turnover rates, and require training of the workers needed to be measure. To find this information the HR department will look into documents or previous records of the company or the department/location where the employees work. The productivity levels after the training is important because the company has to compare the performance before and after the training. Qualitative data will come from interviews and observations. These will provide information that...
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...Mathematics HL First examinations 2008 b DIPLOMA PROGRAMME MATHEMATICS HL First examinations 2008 International Baccalaureate Organization Buenos Aires Cardiff Geneva New York Singapore Diploma Programme Mathematics HL First published in September 2006 International Baccalaureate Organization Peterson House, Malthouse Avenue, Cardiff Gate Cardiff, Wales GB CF23 8GL United Kingdom Phone: + 44 29 2054 7777 Fax: + 44 29 2054 7778 Web site: www.ibo.org c International Baccalaureate Organization 2006 The International Baccalaureate Organization (IBO) was established in 1968 and is a non-profit, international educational foundation registered in Switzerland. The IBO is grateful for permission to reproduce and/or translate any copyright material used in this publication. Acknowledgments are included, where appropriate, and, if notified, the IBO will be pleased to rectify any errors or omissions at the earliest opportunity. IBO merchandise and publications in its official and working languages can be purchased through the IB store at http://store.ibo.org. General ordering queries should be directed to the sales and marketing department in Cardiff. Phone: +44 29 2054 7746 Fax: +44 29 2054 7779 E-mail: sales@ibo.org Printed in the United Kingdom by Antony Rowe Ltd, Chippenham, Wiltshire. 5007 CONTENTS INTRODUCTION 1 NATURE OF THE SUBJECT 3 AIMS 6 OBJECTIVES 7 SYLLABUS OUTLINE 8 SYLLABUS DETAILS 9 ASSESSMENT OUTLINE 53 ASSESSMENT DETAILS ...
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...Unit 2 – Probability and Distributions Sherrill Walker American InterContinental University Abstract Statistics is the science that we use to conduct studies, summarizes, analyze and this is how we make our conclusion from each data. (Bluman, 2010). Memo To: AMERICAN INTELLECTUAL UNION From: SHERRILL WALKER Date: November 20, 2011 Subject: Value of statistics Dear [ [Recipient] ]: AIU HEAD I will be providing statistic by using several data value from a sample that has been provided. Overview of the data set Data can be used in several ways. When collecting such data they then become a set. In this data set we will be using the qualitative variables as well as the quantitative variables. Qualitative variables are the ones that can place in categories such as gender. Quantitative variables can be ordered or rank such as extrinsic, or intrinsic. Use of statistics and probability in the real world In this article watch your weights stated that weights are a sample count. Surveys were used in a simple random sample. Surveys were done of the general population of the US and they hardly ever use simple random samples because chances are everyone will ne inclusion. Weights are variables that determine how much each respondent counts. Distributions In this table you will find the gender, age department, position, tenure with company, extrinsic or extrinsic. Below you can see my findings and the probability that I have came up with. This...
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...statistical analysis test began with a well-developed, clear research question: What is the difference, if any, between the salaries of female and male HR Directors? Next, the null and alternative hypotheses must be defined. The null H₀ is that the salaries of female human resource managers = salaries of male human resource managers. The alternative Ha is that salaries of female human resource managers ≠ salaries of male human resource managers. The next step in the process is to determine the appropriate statistical test and sampling distribution. Since σ is unknown and the number of salaries being tested is less than 100, the t-test will be used. Because we are comparing data from two different groups, the two-sample t-test will be used. We do not know if the variance is different or equal, so we will use the two-tailed t-test for two-sample assuming unequal variances. Subsequently, we have to choose the Type 1 Error rate. For this t-test, α = 0.05, which is the standard rate used by statisticians for research purposes. After that, we have to calculate the degrees of freedom: df = (n₁ - 1) + (n₂ - 1) = (10 – 1) + (10 – 1) = 9 + 9 = 18. Before we can begin the t-test, we also need to state the decision rule: +/- 0.444 will either reject or fail to reject H₀. Once we have determined the information above, we can calculate test statistic. Many different software programs and websites exist to compute...
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...Stat 141 R1 - Lecture #35 Announcements: 1) Assignment #11 Question 5: The answer is wrong … should be “fail to reject” but MyStatLab wants “reject”... so give the wrong answer for full marks in this question 2) Exam: STAT 141 R1 3 hrs 1400 Wed Apr 17 MAIN GYM, ~45 Multiple Choice Questions Chapters 7, 8, 18-28 …. some pre MT skills will be required. Simple Linear Regression …. continued Last time: Ex) Predicting final exam marks (%) from midterm exam marks (%) in a class of 88 students: Student | #1 | #2 | … | #88 | Midterm mark | 67% | 72% | … | 88% | Final mark | 62% | 50% | … | 91% | Stat 141 R1 - Lecture #35 page 2 Given x = midterm percentage, y = final percentage, n=88, x = 67.812, y = 52.643, sx = 17.922, sy = 25.430, r = 0.718 ∑(yi–ŷi)2 = 27278.82 We had calculated: The slope and intercept of the sample line of best fit: * sample line of best fit: y= -16.443 + 1.019 x An estimate for σ (standard deviation about the population line): se Given SSE = ∑(yi–ŷi)2 = 27278.82 : se2=SSEn-2=27278.8288-2=317.196 →σ≈se=317.196=17.810 Stat 141 R1 - Lecture #35 page 3 Inference for the population slope β1 When the 4 basic assumptions of the SLR model are satisfied: o The relationship between x and y is sufficiently linear. Presuming linearity, this means, at any x, με = 0. o The std. dev. of ε is the same for any particular x (constant). o The...
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...occur. The purpose of basic research is not the formation of a definite solution, but to create a set of probabilities to predict current or future events. Team B has chosen a set of data that includes statistic relating to the business of Major League Baseball. The statistical value of this sport is more main-stream than ever after the release of Money Ball, a movie based on true events that focused solely on statistics and not player’s visual abilities or presence. Team B will use the statistics presented to determine if there is a measurable advantage in the production of games won based on a team’s payroll, facility size, and attendance record. The statistics provided are for the years of 1989 to 2005. Team B will attempt to predict who the Major League Champion will be in 2006 using only the statistics given in the data set. Purpose of the research The purpose of this research is for Team B to try and determine the 2006 Major League Baseball, (MLB) champion with data provided only through 2005. The problem with this research is there are multiple variables that take place. For example, the data shows teams with higher attendance both in the higher bracket and lower bracket of wins. Same goes for the error statistics; St Louis Cardinals committed 100 errors but also the most wins...
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...International Journal of Applied Engineering Research ISSN 0973-4562 Volume 8, Number 16 (2013) pp. 1937-1943 © Research India Publications http://www.ripublication.com/ijaer.htm Ionospheric Electron Density Analysis using Empirical Orthogonal Functions Bhagyasree Nimmagadda, A.L Siridhara, D.Venkata Ratnam Department Of ECE in affiliation to K L University K L University (KoneruLakshmaiah Education Foundation) Vaddeswaram, Andhra Pradesh, India. Email: dvratnam@kluniverity.in Abstract Ionospheric electron density variations are more predominant error sources in precise positioning with Global Positioning System (GPS) based navigation systems over low latitude regions such as India and Brazil. spatial and temporal variability is more in this region due to Equatorial Ionospheric Anomaly (EIA), Spread F and ionospheric scintillations etc. Short and long term ionospheric changes such as the solar cycle, the annual and semiannual variations of the ionosphere needs to be investigated for improving reliable communication and navigation systems. In this paper, EOF analysis is used to investigate the spatial and temporal distribution of ionospheric electron density. An empirical model is implemented based on coefficients and basis functions obtained from the EOF analysis. It is evident from the results that the coefficients of EOF basis functions well signify the solar activity, diurnal variations of electron density. Keywords: GPS, EOF, TEC and IRI model 1. Introduction: The...
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...CURTIN UNIVERSITY OF TECHNOLOGY School of Information Systems End of Semester 1 Examination June 2006 Internal/External Students: Internal and External. All Campuses. Unit Name: Business Statistics 101 Unit Number & Version: 10993 Version 3 Duration: Two hrs preceded by a 10 minute reading period. Supervisor will indicate when answering of exam may begin. If you wish to make notes, please use the back of your exam paper, or on the edge columns. Instructions: Answer all five questions in the space provided on this paper. Total Marks: 60 Aids to be supplied by the University: None Aids to be supplied by the Student: One A4 sheet of paper hand- or type written on both sides. Text book by Keller [any edition; need not be clean] Calculator: As approved by the School THIS IS A RESTRICTED BOOK EXAM Mobile phones or any other devices capable of communicating information are prohibited from use during examinations. Electronic Organizers / PDAs or any other similar devices capable of storing text or other restricted information are prohibited. Calculators – if the use of a calculator in the exam is allowed, only calculators specifically approved by the school may be used. The examiner will check for compliance prior to the commencement of the exam. Any breaches of this policy will be considered cheating and appropriate action will be taken as per University policy PLEASE FILL IN YOUR DETAILS BELOW: ...
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...Statistics and Computing Series Editors: J. Chambers D. Hand W. H¨ rdle a Statistics and Computing Brusco/Stahl: Branch and Bound Applications in Combinatorial Data Analysis Chambers: Software for Data Analysis: Programming with R Dalgaard: Introductory Statistics with R, 2nd ed. Gentle: Elements of Computational Statistics Gentle: Numerical Linear Algebra for Applications in Statistics Gentle: Random Number Generation and Monte Carlo Methods, 2nd ed. H¨ rdle/Klinke/Turlach: XploRe: An Interactive Statistical a Computing Environment H¨ rmann/Leydold/Derflinger: Automatic Nonuniform Random o Variate Generation Krause/Olson: The Basics of S-PLUS, 4th ed. Lange: Numerical Analysis for Statisticians Lemmon/Schafer: Developing Statistical Software in Fortran 95 Loader: Local Regression and Likelihood Marasinghe/Kennedy: SAS for Data Analysis: Intermediate Statistical Methods ´ Ruanaidh/Fitzgerald: Numerical Bayesian Methods Applied to O Signal Processing Pannatier: VARIOWIN: Software for Spatial Data Analysis in 2D Pinheiro/Bates: Mixed-Effects Models in S and S-PLUS Unwin/Theus/Hofmann: Graphics of Large Datasets: Visualizing a Million Venables/Ripley: Modern Applied Statistics with S, 4th ed. Venables/Ripley: S Programming Wilkinson: The Grammar of Graphics, 2nd ed. Peter Dalgaard Introductory Statistics with R Second Edition 123 Peter Dalgaard Department of Biostatistics University of Copenhagen Denmark p.dalgaard@biostat.ku.dk ISSN: 1431-8784 ISBN: 978-0-387-79053-4 DOI:...
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... | | | |QNT/351 | | | |Quantitative Analysis for Business | | | |Dr. Jacquelyn B. Frausto | | Copyright © 2013, 2012, 2011 by University of Phoenix. All rights reserved. Course Description This course integrates applied business research and descriptive statistics. Students will learn to apply business research and descriptive statistics in making better business decisions. Other topics include examination of the role of statistics in research, statistical terminology, the appropriate use of statistical techniques, and interpretation of statistical findings in business and research. Policies Faculty and students will be held responsible for understanding and adhering to all policies contained within the following two documents: • University policies: You must be logged...
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...Ballard Integrated Managed Services, Inc. (BIMS) has created a study to gain better understanding of the high turnover rate at the Douglas Medical Center (DMC). This report will provide recommendations for Barbara Tucker, general manager, and will help with workplace improvement. This report was created by Team C consultants and includes data and recommendations to further understand and reduce the causes of the high turnover rate. The turnover rate for DMC has been at the industry standards of 55 to 60%. However, in the last four months it has risen to over 64%. Use of sick time has increased and a large number of workers waste their time every day. Debbie Horner, HR manager, has created a survey for workers to express their opinion about the work environment. This survey asked morale and demographic questions to help with the coding and analysis of the data. The survey will help find the reason for the high turnover rate. The instrument used for data collection. The instrument that was used within Ballard Integrated Managed Services (BIMS) to find out why their moral was down was the sample method. According to "Sampling" (2012), “The sample method is a process used in statistical analysis in which a predetermined number of observations will be taken from a larger population”. The way this method was used was that the Human Resource Manager Debbie Horner handed out surveys to 449 employees asking fourteen questions. Debbie Horner decided that the upper management...
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